Evidence map›Paper›PMID 24724938›Full record

ReviewFEMS microbiology reviews2014

Improving industrial yeast strains: exploiting natural and artificial diversity.

Jan Steensels, Tim Snoek, Esther Meersman, Martina Picca Nicolino, Karin Voordeckers, Kevin J Verstrepen

Open access · bronzeAbstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed
17.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

176 citing papers in PubMed, 467 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Development ofBiotechnology reports (Amsterdam, Netherlands) · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Whole-genome combinatorial gene fusions generate novel genes for advanced microbial trait development.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

116 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jan SteenselsLaboratory for Genetics and Genomics, Centre of Microbial and Plant Genetics (CMPG), KU Leuven, Leuven, Belgium; Laboratory for Systems Biology, VIB, Leuven, Belgium.
Tim Snoek
Esther Meersman
Martina Picca Nicolino
Karin Voordeckers
Kevin J Verstrepen
KU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yeasts have been used for thousands of years to make fermented foods and beverages, such as beer, wine, sake, and bread. However, the choice for a particular yeast strain or species for a specific industrial application is often based on historical, rather than scientific grounds. Moreover, new biotechnological yeast applications, such as the production of second-generation biofuels, confront yeast with environments and challenges that differ from those encountered in traditional food fermentations. Together, this implies that there are interesting opportunities to isolate or generate yeast variants that perform better than the currently used strains. Here, we discuss the different strategies of strain selection and improvement available for both conventional and nonconventional yeasts. Exploiting the existing natural diversity and using techniques such as mutagenesis, protoplast fusion, breeding, genome shuffling and directed evolution to generate artificial diversity, or the use of genetic modification strategies to alter traits in a more targeted way, have led to the selection of superior industrial yeasts. Furthermore, recent technological advances allowed the development of high-throughput techniques, such as 'global transcription machinery engineering' (gTME), to induce genetic variation, providing a new source of yeast genetic diversity.

Indexed as

BiodiversityIndustrial MicrobiologyEvolution, MolecularGenetic VariationOrganisms, Genetically ModifiedYeastsevolutionary engineeringgenetic engineeringGMOmetabolic engineeringnon-SaccharomycesSaccharomyces cerevisiae

Identifiers

PMID24724938
PMCPMC4293462
OpenAlexW2075396966

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.